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      name:  <unnamed>
       log:  /Users/christineliu/Desktop/Japan Paper/Dataverse Submission/Results.log
  log type:  text
 opened on:  21 Jul 2021, 22:40:16

. 
. 
. ************
. *Declaring time-series*
. tsset t
        time variable:  t, 1 to 132
                delta:  1 unit

. 
. *Figure 1.*
. *The two panel graphs were adjusted from 2 columns to 2 rows under 'Graph properties'>'Orga
> nization'*
. tsset Month
        time variable:  Month, January 2009 to December 2019
                delta:  1 month

. graph twoway tsline Vessels, tlabel(2010m9 2014m9 2018m9) ytitle("Vessel Entries") title("V
> essel Entries Within the Territorial Sea")

. graph rename g1

. graph twoway tsline patrol,  tlabel(2010m9 2014m9 2018m9) ytitle("Vessel Patrols") title("V
> essel Patrols Within the Territorial Sea")

. graph rename g2 

. graph combine g1 g2

. 
. 
. *Logit regressions*
. 
. *Table 1.*
. *Need to install asdoc to export table into word*
. ssc install asdoc, replace
checking asdoc consistency and verifying not already installed...
all files already exist and are up to date.

. asdoc logistic actspe1 Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp party
> id JPCHtrade GDPQgr toffice election, nest replace eform

Logistic regression                             Number of obs     =        130
                                                LR chi2(13)       =      23.42
                                                Prob > chi2       =     0.0369
Log likelihood = -77.146516                     Pseudo R2         =     0.1318

------------------------------------------------------------------------------
     actspe1 | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   1.138644   .0556949     2.65   0.008     1.034553    1.253208
       dscrq |   .9969423   .0034394    -0.89   0.375     .9902241    1.003706
    Missiles |    .901314   .1160711    -0.81   0.420     .7002586    1.160096
         dCR |    1.01568   .0436567     0.36   0.717       .93362    1.104953
  govstr1App |   .9983082   .0016815    -1.01   0.315      .995018    1.001609
     govstr1 |   1.073969   .0932618     0.82   0.411     .9058885    1.273235
      LagApp |   1.128135   .1443809     0.94   0.346     .8778551    1.449772
      dunemp |   3.494774   6.357701     0.69   0.492     .0988351     123.574
     partyid |   1.356202   1.021564     0.40   0.686     .3098515    5.936017
   JPCHtrade |   1.049883   .2424098     0.21   0.833     .6677361    1.650732
      GDPQgr |   1.085427   .1172392     0.76   0.448     .8783357    1.341345
     toffice |   1.007689    .014877     0.52   0.604     .9789481    1.037273
    election |   .5365316   .2740737    -1.22   0.223     .1971425    1.460193
       _cons |   .0006608   .0051714    -0.94   0.349     1.44e-10    3031.602
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. asdoc logistic actgen1 Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp party
> id JPCHtrade GDPQgr toffice election, nest eform
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        130
                                                LR chi2(13)       =      19.36
                                                Prob > chi2       =     0.1123
Log likelihood = -80.182322                     Pseudo R2         =     0.1077

------------------------------------------------------------------------------
     actgen1 | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   1.097026    .053833     1.89   0.059     .9964301    1.207777
       dscrq |   1.002442   .0034716     0.70   0.481     .9956604    1.009269
    Missiles |     1.3186   .1874034     1.95   0.052     .9980167    1.742161
         dCR |   .9853408   .0425142    -0.34   0.732     .9054406    1.072292
  govstr1App |   .9983744   .0016648    -0.98   0.329     .9951168    1.001643
     govstr1 |   1.122381   .0940153     1.38   0.168     .9524459    1.322637
      LagApp |   1.107651   .1396907     0.81   0.418     .8650759    1.418246
      dunemp |   3.494059   6.089341     0.72   0.473     .1147841    106.3601
     partyid |   1.025294   .6934743     0.04   0.971     .2723482    3.859868
   JPCHtrade |   1.002143   .2207479     0.01   0.992     .6507742    1.543223
      GDPQgr |   .9826975   .0903964    -0.19   0.850     .8205773    1.176847
     toffice |   .9655284   .0151175    -2.24   0.025     .9363487    .9956176
    election |   .3336263   .1682125    -2.18   0.029     .1241908    .8962543
       _cons |   .0004807   .0036276    -1.01   0.311     1.81e-10    1275.559
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. asdoc logistic rhetact Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp party
> id JPCHtrade GDPQgr toffice election, nest eform
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        130
                                                LR chi2(13)       =      15.54
                                                Prob > chi2       =     0.2751
Log likelihood =  -81.35443                     Pseudo R2         =     0.0872

------------------------------------------------------------------------------
     rhetact | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   1.057331   .0470924     1.25   0.211     .9689459    1.153779
       dscrq |    .999944   .0033229    -0.02   0.987     .9934524    1.006478
    Missiles |   1.074329   .1351728     0.57   0.569     .8395343    1.374789
         dCR |   .9720805   .0402488    -0.68   0.494     .8963104    1.054256
  govstr1App |      .9961   .0017153    -2.27   0.023     .9927438    .9994675
     govstr1 |   1.243387    .111655     2.43   0.015     1.042723    1.482666
      LagApp |   1.329393   .1738065     2.18   0.029     1.028883    1.717673
      dunemp |   2.163005   3.680053     0.45   0.650     .0770649    60.70978
     partyid |   1.395097    .990406     0.47   0.639     .3469928    5.609041
   JPCHtrade |   1.209823   .2744531     0.84   0.401     .7755741     1.88721
      GDPQgr |   1.007248   .0930594     0.08   0.938     .8404158    1.207199
     toffice |   .9689174   .0147406    -2.08   0.038     .9404529    .9982435
    election |   .3567384   .1809133    -2.03   0.042     .1320319    .9638756
       _cons |   2.01e-09   1.65e-08    -2.44   0.015     2.10e-16    .0191987
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. asdoc logistic rhetpas Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp party
> id JPCHtrade GDPQgr toffice election, nest eform
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        130
                                                LR chi2(13)       =      14.49
                                                Prob > chi2       =     0.3404
Log likelihood = -80.637165                     Pseudo R2         =     0.0824

------------------------------------------------------------------------------
     rhetpas | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   1.092992   .0507309     1.92   0.055     .9979494    1.197085
       dscrq |   .9980432   .0033303    -0.59   0.557     .9915371    1.004592
    Missiles |   .9338866   .1198191    -0.53   0.594     .7262459    1.200894
         dCR |   1.021722   .0423833     0.52   0.604     .9419392    1.108262
  govstr1App |   .9996453   .0015969    -0.22   0.824     .9965202     1.00278
     govstr1 |   1.065918   .0877894     0.78   0.438     .9070235    1.252648
      LagApp |   1.004021   .1220262     0.03   0.974     .7912064    1.274077
      dunemp |   2.458676   4.297118     0.51   0.607      .079988    75.57488
     partyid |   1.272927   .9142221     0.34   0.737      .311506    5.201642
   JPCHtrade |   1.024935   .2241259     0.11   0.910     .6676689    1.573371
      GDPQgr |   1.059509   .1044396     0.59   0.558     .8733709    1.285318
     toffice |   .9811587   .0146331    -1.28   0.202     .9528935    1.010262
    election |   .5653423   .2808084    -1.15   0.251     .2135578    1.496606
       _cons |   .0054517   .0403657    -0.70   0.481     2.72e-09    10940.89
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. 
. 
. *Table 2.*
. asdoc logistic actspe1 Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp Hato 
> Kan Noda Abe JPCHtrade GDPQgr toffice election, nest replace eform

Logistic regression                             Number of obs     =        130
                                                LR chi2(16)       =      24.70
                                                Prob > chi2       =     0.0753
Log likelihood = -76.510096                     Pseudo R2         =     0.1390

------------------------------------------------------------------------------
     actspe1 | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |    1.12006   .0640046     1.98   0.047     1.001383    1.252801
       dscrq |   .9967864   .0034725    -0.92   0.356     .9900036    1.003616
    Missiles |   .9050263   .1173845    -0.77   0.442     .7018721    1.166983
         dCR |   1.021937   .0457116     0.49   0.628     .9361584    1.115574
  govstr1App |   .9990897   .0020765    -0.44   0.661      .995028    1.003168
     govstr1 |   1.010951   .1205403     0.09   0.927     .8002713    1.277093
      LagApp |   1.051269   .1745878     0.30   0.763      .759192    1.455713
      dunemp |   3.367485    6.19575     0.66   0.509     .0914538    123.9966
        Hato |   3.850276   8.157277     0.64   0.525     .0605506    244.8305
         Kan |   1.081296   2.192714     0.04   0.969     .0203156     57.5519
        Noda |   1.583655   2.962612     0.25   0.806     .0404838    61.94981
         Abe |   4.057693   10.00918     0.57   0.570     .0322557    510.4486
   JPCHtrade |   1.087075   .2573123     0.35   0.724     .6835634    1.728782
      GDPQgr |   1.112117   .1441272     0.82   0.412     .8626553    1.433718
     toffice |   1.010391   .0152984     0.68   0.495     .9808468    1.040824
    election |   .5384218   .2798059    -1.19   0.234     .1944339    1.490985
       _cons |   .0279858   .2632465    -0.38   0.704     2.76e-10     2842496
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. asdoc logistic actgen1 Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp Hato 
> Kan Noda Abe JPCHtrade GDPQgr toffice election, nest eform
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        130
                                                LR chi2(16)       =      23.16
                                                Prob > chi2       =     0.1096
Log likelihood = -78.283958                     Pseudo R2         =     0.1289

------------------------------------------------------------------------------
     actgen1 | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   1.171161   .0821709     2.25   0.024     1.020692    1.343812
       dscrq |   1.002522   .0035718     0.71   0.480     .9955461    1.009547
    Missiles |   1.319407   .1912918     1.91   0.056     .9930451    1.753028
         dCR |   .9771365   .0449248    -0.50   0.615     .8929362    1.069277
  govstr1App |    .996682   .0020864    -1.59   0.112     .9926011     1.00078
     govstr1 |   1.279813    .155157     2.04   0.042     1.009141    1.623084
      LagApp |    1.28222   .2086103     1.53   0.127     .9321302    1.763796
      dunemp |   3.408389   6.101224     0.69   0.493     .1020579    113.8287
        Hato |   .0487566    .093458    -1.58   0.115     .0011387    2.087561
         Kan |   .1979977   .3690738    -0.87   0.385     .0051286     7.64409
        Noda |    .117392   .2068086    -1.22   0.224     .0037161    3.708456
         Abe |   .0303502   .0720714    -1.47   0.141      .000289    3.187692
   JPCHtrade |   .9385387   .2131661    -0.28   0.780     .6013435    1.464812
      GDPQgr |   .9829296   .1222761    -0.14   0.890     .7702528    1.254329
     toffice |   .9592382   .0165243    -2.42   0.016     .9273917    .9921782
    election |   .2863193   .1528088    -2.34   0.019      .100592    .8149622
       _cons |   3.77e-07   3.43e-06    -1.63   0.104     6.88e-15    20.64776
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. asdoc logistic rhetact Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp Hato 
> Kan Noda Abe JPCHtrade GDPQgr toffice election, nest eform
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        130
                                                LR chi2(16)       =      16.45
                                                Prob > chi2       =     0.4218
Log likelihood =  -80.89524                     Pseudo R2         =     0.0923

------------------------------------------------------------------------------
     rhetact | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   1.033727   .0521833     0.66   0.511     .9363464    1.141235
       dscrq |   1.000051   .0033334     0.02   0.988     .9935392    1.006606
    Missiles |   1.069154   .1365486     0.52   0.601     .8323914     1.37326
         dCR |   .9725861   .0416935    -0.65   0.517     .8942073    1.057835
  govstr1App |   .9966119    .001875    -1.80   0.071     .9929438    1.000294
     govstr1 |   1.201252   .1259164     1.75   0.080      .978161    1.475224
      LagApp |   1.271851   .1865605     1.64   0.101      .954066    1.695485
      dunemp |   2.353832   4.033961     0.50   0.617     .0818463    67.69423
        Hato |   2.120312   3.728885     0.43   0.669     .0675204     66.5832
         Kan |   2.979902   5.416079     0.60   0.548     .0845498    105.0246
        Noda |   2.958813    4.98497     0.64   0.520     .1088992     80.3916
         Abe |   6.154773    12.4085     0.90   0.367     .1183377    320.1112
   JPCHtrade |   1.223931   .2883045     0.86   0.391     .7713494     1.94206
      GDPQgr |    .946111   .1179819    -0.44   0.657     .7409613     1.20806
     toffice |   .9681499   .0149032    -2.10   0.035     .9393765    .9978047
    election |   .3803559   .1964233    -1.87   0.061     .1382334    1.046568
       _cons |   1.05e-08   9.34e-08    -2.06   0.039     2.75e-16    .4001601
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. asdoc logistic rhetpas Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp Hato 
> Kan Noda Abe JPCHtrade GDPQgr toffice election, nest eform
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        130
                                                LR chi2(16)       =      20.17
                                                Prob > chi2       =     0.2126
Log likelihood = -77.795777                     Pseudo R2         =     0.1148

------------------------------------------------------------------------------
     rhetpas | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   1.047865   .0551072     0.89   0.374     .9452368    1.161636
       dscrq |    .997575   .0033329    -0.73   0.467      .991064    1.004129
    Missiles |   .9380478    .122476    -0.49   0.624     .7262531    1.211607
         dCR |    1.01352   .0449092     0.30   0.762     .9292134    1.105476
  govstr1App |    1.00019   .0019598     0.10   0.923     .9963566    1.004039
     govstr1 |   1.010821   .1132121     0.10   0.923     .8115951    1.258951
      LagApp |   .9528547   .1488979    -0.31   0.757     .7014772    1.294314
      dunemp |   2.824106   4.993173     0.59   0.557     .0882898    90.33404
        Hato |   2.907214   5.928725     0.52   0.601     .0534084    158.2504
         Kan |   .6782962   1.368563    -0.19   0.847     .0130015    35.38701
        Noda |   4.885124   8.829319     0.88   0.380     .1413915    168.7827
         Abe |   7.336645   17.33968     0.84   0.399     .0714065    753.8018
   JPCHtrade |   1.123407   .2558147     0.51   0.609     .7189644    1.755364
      GDPQgr |   1.076754   .1404898     0.57   0.571     .8337884     1.39052
     toffice |   .9816414   .0148917    -1.22   0.222     .9528838    1.011267
    election |   .5634392   .2894467    -1.12   0.264     .2058604    1.542131
       _cons |   .0304766   .2711006    -0.39   0.695     8.17e-10     1136861
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. 
. 
. *Figure 2.*
. *The position and size of the labels were lightly adjusted using the 'graph editor' functio
> n*
. logistic actspe1 Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp partyid JPC
> Htrade GDPQgr toffice election

Logistic regression                             Number of obs     =        130
                                                LR chi2(13)       =      23.42
                                                Prob > chi2       =     0.0369
Log likelihood = -77.146516                     Pseudo R2         =     0.1318

------------------------------------------------------------------------------
     actspe1 | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   1.138644   .0556949     2.65   0.008     1.034553    1.253208
       dscrq |   .9969423   .0034394    -0.89   0.375     .9902241    1.003706
    Missiles |    .901314   .1160711    -0.81   0.420     .7002586    1.160096
         dCR |    1.01568   .0436567     0.36   0.717       .93362    1.104953
  govstr1App |   .9983082   .0016815    -1.01   0.315      .995018    1.001609
     govstr1 |   1.073969   .0932618     0.82   0.411     .9058885    1.273235
      LagApp |   1.128135   .1443809     0.94   0.346     .8778551    1.449772
      dunemp |   3.494774   6.357701     0.69   0.492     .0988351     123.574
     partyid |   1.356202   1.021564     0.40   0.686     .3098515    5.936017
   JPCHtrade |   1.049883   .2424098     0.21   0.833     .6677361    1.650732
      GDPQgr |   1.085427   .1172392     0.76   0.448     .8783357    1.341345
     toffice |   1.007689    .014877     0.52   0.604     .9789481    1.037273
    election |   .5365316   .2740737    -1.22   0.223     .1971425    1.460193
       _cons |   .0006608   .0051714    -0.94   0.349     1.44e-10    3031.602
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.

. margins, at (Lagvessels=(0(5)30))

Predictive margins                              Number of obs     =        130
Model VCE    : OIM

Expression   : Pr(actspe1), predict()

1._at        : Lagvessels      =           0

2._at        : Lagvessels      =           5

3._at        : Lagvessels      =          10

4._at        : Lagvessels      =          15

5._at        : Lagvessels      =          20

6._at        : Lagvessels      =          25

7._at        : Lagvessels      =          30

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   .2517191   .0652202     3.86   0.000     .1238898    .3795484
          2  |   .3811098   .0454456     8.39   0.000      .292038    .4701816
          3  |   .5284199   .0598308     8.83   0.000     .4111537    .6456861
          4  |   .6710671   .0932902     7.19   0.000     .4882216    .8539126
          5  |   .7890168   .1065564     7.40   0.000       .58017    .9978635
          6  |    .873837   .0964151     9.06   0.000     .6848669    1.062807
          7  |   .9283867   .0743681    12.48   0.000      .782628    1.074145
------------------------------------------------------------------------------

. marginsplot, ytitle("Probability of Specific Policy Rhetoric") xtitle("Vessel Intrusion per
>  month") title("Marginal Effects of Vessel Intrusion on Specific Policy Rhetoric")

  Variables that uniquely identify margins: Lagvessels

. 
. *marginal effects at the mean*
. margins, at (Lagvessels=(6.5(.5)7.5)) atmeans post

Adjusted predictions                            Number of obs     =        130
Model VCE    : OIM

Expression   : Pr(actspe1), predict()

1._at        : Lagvessels      =         6.5
               dscrq           =    4.038462 (mean)
               Missiles        =    .9230769 (mean)
               dCR             =   -1.353846 (mean)
               govstr1App      =    3791.225 (mean)
               govstr1         =    85.89942 (mean)
               LagApp          =    43.40769 (mean)
               dunemp          =   -.0130769 (mean)
               partyid         =    .7076923 (mean)
               JPCHtrade       =    20.78044 (mean)
               GDPQgr          =    .5654615 (mean)
               toffice         =    29.60769 (mean)
               election        =    .2461538 (mean)

2._at        : Lagvessels      =           7
               dscrq           =    4.038462 (mean)
               Missiles        =    .9230769 (mean)
               dCR             =   -1.353846 (mean)
               govstr1App      =    3791.225 (mean)
               govstr1         =    85.89942 (mean)
               LagApp          =    43.40769 (mean)
               dunemp          =   -.0130769 (mean)
               partyid         =    .7076923 (mean)
               JPCHtrade       =    20.78044 (mean)
               GDPQgr          =    .5654615 (mean)
               toffice         =    29.60769 (mean)
               election        =    .2461538 (mean)

3._at        : Lagvessels      =         7.5
               dscrq           =    4.038462 (mean)
               Missiles        =    .9230769 (mean)
               dCR             =   -1.353846 (mean)
               govstr1App      =    3791.225 (mean)
               govstr1         =    85.89942 (mean)
               LagApp          =    43.40769 (mean)
               dunemp          =   -.0130769 (mean)
               partyid         =    .7076923 (mean)
               JPCHtrade       =    20.78044 (mean)
               GDPQgr          =    .5654615 (mean)
               toffice         =    29.60769 (mean)
               election        =    .2461538 (mean)

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   .4175692   .0481091     8.68   0.000      .323277    .5118614
          2  |   .4334372   .0488425     8.87   0.000     .3377077    .5291668
          3  |   .4494429   .0502163     8.95   0.000     .3510208     .547865
------------------------------------------------------------------------------

. 
. 
. *Figure 3.*
. asdoc logistic rhetact Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp party
> id JPCHtrade GDPQgr toffice election
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        130
                                                LR chi2(13)       =      15.54
                                                Prob > chi2       =     0.2751
Log likelihood =  -81.35443                     Pseudo R2         =     0.0872

------------------------------------------------------------------------------
     rhetact | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   1.057331   .0470924     1.25   0.211     .9689459    1.153779
       dscrq |    .999944   .0033229    -0.02   0.987     .9934524    1.006478
    Missiles |   1.074329   .1351728     0.57   0.569     .8395343    1.374789
         dCR |   .9720805   .0402488    -0.68   0.494     .8963104    1.054256
  govstr1App |      .9961   .0017153    -2.27   0.023     .9927438    .9994675
     govstr1 |   1.243387    .111655     2.43   0.015     1.042723    1.482666
      LagApp |   1.329393   .1738065     2.18   0.029     1.028883    1.717673
      dunemp |   2.163005   3.680053     0.45   0.650     .0770649    60.70978
     partyid |   1.395097    .990406     0.47   0.639     .3469928    5.609041
   JPCHtrade |   1.209823   .2744531     0.84   0.401     .7755741     1.88721
      GDPQgr |   1.007248   .0930594     0.08   0.938     .8404158    1.207199
     toffice |   .9689174   .0147406    -2.08   0.038     .9404529    .9982435
    election |   .3567384   .1809133    -2.03   0.042     .1320319    .9638756
       _cons |   2.01e-09   1.65e-08    -2.44   0.015     2.10e-16    .0191987
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
Click to Open File:  Myfile.doc

. margins, dydx(LagApp) at (govstr1=(60(5)100))

Average marginal effects                        Number of obs     =        130
Model VCE    : OIM

Expression   : Pr(rhetact), predict()
dy/dx w.r.t. : LagApp

1._at        : govstr1         =          60

2._at        : govstr1         =          65

3._at        : govstr1         =          70

4._at        : govstr1         =          75

5._at        : govstr1         =          80

6._at        : govstr1         =          85

7._at        : govstr1         =          90

8._at        : govstr1         =          95

9._at        : govstr1         =         100

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
LagApp       |
         _at |
          1  |   .0068049   .0022426     3.03   0.002     .0024094    .0112003
          2  |   .0115441   .0027066     4.27   0.000     .0062393    .0168489
          3  |   .0180748    .003743     4.83   0.000     .0107386    .0254109
          4  |   .0251308   .0054174     4.64   0.000     .0145129    .0357486
          5  |   .0292844   .0056187     5.21   0.000     .0182719    .0402969
          6  |   .0313175   .0063884     4.90   0.000     .0187965    .0438385
          7  |   .0327188   .0072601     4.51   0.000     .0184892    .0469484
          8  |   .0319556   .0079415     4.02   0.000     .0163904    .0475207
          9  |   .0288408   .0077141     3.74   0.000     .0137214    .0439602
------------------------------------------------------------------------------

. marginsplot, ytitle("Effect of Approval Rating on International Attitude Rhetoric") xtitle(
> "Government Strength") title("Marginal Effect of Approval Rating Moderated by Government St
> rength")

  Variables that uniquely identify margins: govstr1

. 
. *Figure 4.*
. asdoc logistic rhetact Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp party
> id JPCHtrade GDPQgr toffice election
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        130
                                                LR chi2(13)       =      15.54
                                                Prob > chi2       =     0.2751
Log likelihood =  -81.35443                     Pseudo R2         =     0.0872

------------------------------------------------------------------------------
     rhetact | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   1.057331   .0470924     1.25   0.211     .9689459    1.153779
       dscrq |    .999944   .0033229    -0.02   0.987     .9934524    1.006478
    Missiles |   1.074329   .1351728     0.57   0.569     .8395343    1.374789
         dCR |   .9720805   .0402488    -0.68   0.494     .8963104    1.054256
  govstr1App |      .9961   .0017153    -2.27   0.023     .9927438    .9994675
     govstr1 |   1.243387    .111655     2.43   0.015     1.042723    1.482666
      LagApp |   1.329393   .1738065     2.18   0.029     1.028883    1.717673
      dunemp |   2.163005   3.680053     0.45   0.650     .0770649    60.70978
     partyid |   1.395097    .990406     0.47   0.639     .3469928    5.609041
   JPCHtrade |   1.209823   .2744531     0.84   0.401     .7755741     1.88721
      GDPQgr |   1.007248   .0930594     0.08   0.938     .8404158    1.207199
     toffice |   .9689174   .0147406    -2.08   0.038     .9404529    .9982435
    election |   .3567384   .1809133    -2.03   0.042     .1320319    .9638756
       _cons |   2.01e-09   1.65e-08    -2.44   0.015     2.10e-16    .0191987
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
Click to Open File:  Myfile.doc

. margins, dydx(govstr1) at (LagApp=(10(5)70))

Average marginal effects                        Number of obs     =        130
Model VCE    : OIM

Expression   : Pr(rhetact), predict()
dy/dx w.r.t. : govstr1

1._at        : LagApp          =          10

2._at        : LagApp          =          15

3._at        : LagApp          =          20

4._at        : LagApp          =          25

5._at        : LagApp          =          30

6._at        : LagApp          =          35

7._at        : LagApp          =          40

8._at        : LagApp          =          45

9._at        : LagApp          =          50

10._at       : LagApp          =          55

11._at       : LagApp          =          60

12._at       : LagApp          =          65

13._at       : LagApp          =          70

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
govstr1      |
         _at |
          1  |   .0011216   .0007174     1.56   0.118    -.0002846    .0025277
          2  |   .0025958   .0010973     2.37   0.018     .0004452    .0047465
          3  |   .0052047   .0011791     4.41   0.000     .0028937    .0075158
          4  |   .0086838   .0014406     6.03   0.000     .0058602    .0115074
          5  |   .0123748   .0022943     5.39   0.000     .0078779    .0168716
          6  |   .0147462    .003381     4.36   0.000     .0081196    .0213727
          7  |   .0180137   .0042736     4.22   0.000     .0096376    .0263898
          8  |   .0228272   .0043281     5.27   0.000     .0143443      .03131
          9  |   .0237688   .0043299     5.49   0.000     .0152824    .0322551
         10  |   .0183567    .003168     5.79   0.000     .0121476    .0245658
         11  |   .0116384   .0026946     4.32   0.000     .0063571    .0169198
         12  |   .0071835    .001926     3.73   0.000     .0034086    .0109584
         13  |   .0037922   .0019639     1.93   0.053    -.0000571    .0076414
------------------------------------------------------------------------------

. marginsplot, ytitle("Effect of Government Strength on International Attitude Rhetoric") xti
> tle("Approval Rating") title("Marginal Effect of Government Strength Moderated by Approval 
> Rating")

  Variables that uniquely identify margins: LagApp

. 
.  
. *Appendix*
. *Table A6.*
. asdoc sum rhetpas rhetact actgen1 actspe1 Lagvessels dscrq Missiles dCR LagApp dunemp govst
> r1 govstr1App Aso Hato Kan Noda Abe partyid JPUStrade JPCHtrade toffice election GDPQgr dRU
> scrq dCHscrq patrol altvessels, replace

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     rhetpas |        131    .4045802    .4926947          0          1
     rhetact |        131    .4351145    .4976752          0          1
     actgen1 |        131    .5267176    .5012023          0          1
     actspe1 |        131    .4274809    .4966121          0          1
  Lagvessels |        132    6.507576    6.015877          0         28
-------------+---------------------------------------------------------
       dscrq |        132        3.75    58.42636       -157        103
    Missiles |        132    .9242424    1.771794          0         10
         dCR |        132   -1.401515    4.940655        -10          7
      LagApp |        130    43.40769    12.71433         15         70
      dunemp |        132   -.0128788    .1244256        -.3         .4
-------------+---------------------------------------------------------
     govstr1 |        132    85.87273    12.80841    58.9169     99.999
  govstr1App |        130    3791.225    1293.041   1060.504   5799.942
         Aso |        132    .0681818    .2530179          0          1
        Hato |        132    .0606061    .2395153          0          1
         Kan |        132    .1136364    .3185781          0          1
-------------+---------------------------------------------------------
        Noda |        132    .1212121     .327617          0          1
         Abe |        132    .6363636    .4828783          0          1
     partyid |        132    .7045455    .4579849          0          1
   JPUStrade |        132    13.96234     1.34844   10.95172   16.42474
   JPCHtrade |        132    20.79674    1.079716   17.31003   23.23758
-------------+---------------------------------------------------------
     toffice |        132    29.87121    25.77898          1         84
    election |        132    .2424242    .4301821          0          1
      GDPQgr |        132    .5752273    2.650402      -8.85        5.4
     dRUscrq |        132    .3484848    43.64394       -146        122
     dCHscrq |        132    4.704545    41.78877       -106        109
-------------+---------------------------------------------------------
      patrol |        131    1.969466    1.745054          0          8
  altvessels |        130    6.430769    6.029563          0         28

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     rhetpas |        131    .4045802    .4926947          0          1

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     rhetact |        131    .4351145    .4976752          0          1

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     actgen1 |        131    .5267176    .5012023          0          1

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     actspe1 |        131    .4274809    .4966121          0          1

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
  Lagvessels |        132    6.507576    6.015877          0         28

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
       dscrq |        132        3.75    58.42636       -157        103

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
    Missiles |        132    .9242424    1.771794          0         10

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
         dCR |        132   -1.401515    4.940655        -10          7

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
      LagApp |        130    43.40769    12.71433         15         70

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
      dunemp |        132   -.0128788    .1244256        -.3         .4

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     govstr1 |        132    85.87273    12.80841    58.9169     99.999

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
  govstr1App |        130    3791.225    1293.041   1060.504   5799.942

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
         Aso |        132    .0681818    .2530179          0          1

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
        Hato |        132    .0606061    .2395153          0          1

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
         Kan |        132    .1136364    .3185781          0          1

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
        Noda |        132    .1212121     .327617          0          1

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
         Abe |        132    .6363636    .4828783          0          1

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     partyid |        132    .7045455    .4579849          0          1

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
   JPUStrade |        132    13.96234     1.34844   10.95172   16.42474

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
   JPCHtrade |        132    20.79674    1.079716   17.31003   23.23758

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     toffice |        132    29.87121    25.77898          1         84

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
    election |        132    .2424242    .4301821          0          1

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
      GDPQgr |        132    .5752273    2.650402      -8.85        5.4

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     dRUscrq |        132    .3484848    43.64394       -146        122

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     dCHscrq |        132    4.704545    41.78877       -106        109

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
      patrol |        131    1.969466    1.745054          0          8

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
  altvessels |        130    6.430769    6.029563          0         28
Click to Open File:  Myfile.doc

. 
. *Table A7.*
. asdoc logistic actspe1 Lagpatrol dscrq Missiles dCR govstr1App govstr1 LagApp dunemp partyi
> d JPCHtrade GDPQgr toffice election, nest replace eform

Logistic regression                             Number of obs     =        130
                                                LR chi2(13)       =      22.99
                                                Prob > chi2       =     0.0418
Log likelihood = -77.365275                     Pseudo R2         =     0.1293

------------------------------------------------------------------------------
     actspe1 | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   Lagpatrol |   1.562942   .2696061     2.59   0.010      1.11458    2.191666
       dscrq |   .9974206   .0034043    -0.76   0.449     .9907706    1.004115
    Missiles |   .9002154   .1152785    -0.82   0.412     .7003972     1.15704
         dCR |   1.028398   .0436237     0.66   0.509     .9463547    1.117553
  govstr1App |   .9987607   .0016911    -0.73   0.464     .9954518    1.002081
     govstr1 |   1.051513   .0920104     0.57   0.566      .885793    1.248238
      LagApp |   1.093378   .1414984     0.69   0.490     .8484239    1.409054
      dunemp |   3.035986   5.440806     0.62   0.535     .0905434    101.7988
     partyid |   1.067607   .8517639     0.08   0.935     .2235125    5.099428
   JPCHtrade |    1.05713    .246296     0.24   0.812     .6695927     1.66896
      GDPQgr |   1.076725   .1177414     0.68   0.499     .8690094    1.334089
     toffice |   1.012698   .0149946     0.85   0.394     .9837313    1.042517
    election |   .6084765   .3025043    -1.00   0.318     .2296512      1.6122
       _cons |   .0023965   .0189279    -0.76   0.445     4.54e-10    12658.02
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. asdoc logistic actgen1 Lagpatrol dscrq Missiles dCR govstr1App govstr1 LagApp dunemp partyi
> d JPCHtrade GDPQgr toffice election, nest eform
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        130
                                                LR chi2(13)       =      18.08
                                                Prob > chi2       =     0.1546
Log likelihood = -80.824123                     Pseudo R2         =     0.1006

------------------------------------------------------------------------------
     actgen1 | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   Lagpatrol |   1.300444   .2149725     1.59   0.112     .9405503    1.798048
       dscrq |   1.002766    .003429     0.81   0.419     .9960683     1.00951
    Missiles |   1.312367   .1832711     1.95   0.052     .9981271     1.72554
         dCR |   .9922428   .0423832    -0.18   0.855     .9125555    1.078889
  govstr1App |   .9986713   .0016401    -0.81   0.418     .9954618    1.001891
     govstr1 |   1.107326   .0916495     1.23   0.218     .9415093    1.302347
      LagApp |   1.085597   .1353807     0.66   0.510     .8501948    1.386177
      dunemp |    3.16324   5.413478     0.67   0.501     .1105121    90.54286
     partyid |   .9968053   .7094789    -0.00   0.996     .2470389    4.022123
   JPCHtrade |   .9971669   .2201133    -0.01   0.990     .6469559    1.536954
      GDPQgr |    .985732   .0904566    -0.16   0.876     .8234697    1.179968
     toffice |   .9684844   .0150097    -2.07   0.039     .9395083    .9983542
    election |   .3765487   .1836989    -2.00   0.045     .1447316    .9796679
       _cons |   .0013082   .0097599    -0.89   0.374     5.84e-10    2930.898
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. asdoc logistic rhetact Lagpatrol dscrq Missiles dCR govstr1App govstr1 LagApp dunemp partyi
> d JPCHtrade GDPQgr toffice election, nest eform
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        130
                                                LR chi2(13)       =      15.35
                                                Prob > chi2       =     0.2863
Log likelihood = -81.449043                     Pseudo R2         =     0.0861

------------------------------------------------------------------------------
     rhetact | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   Lagpatrol |   1.205311   .1901586     1.18   0.237     .8847235    1.642067
       dscrq |   1.000077   .0033106     0.02   0.981     .9936093    1.006587
    Missiles |   1.075183   .1351162     0.58   0.564     .8404529     1.37547
         dCR |   .9775368    .040078    -0.55   0.579     .9020586     1.05933
  govstr1App |   .9962759   .0017094    -2.17   0.030     .9929312    .9996319
     govstr1 |   1.234153   .1104714     2.35   0.019     1.035562    1.470827
      LagApp |   1.313575   .1716553     2.09   0.037     1.016768    1.697025
      dunemp |   2.067971   3.499882     0.43   0.668      .074981     57.0345
     partyid |   1.270966   .9749344     0.31   0.755     .2826137    5.715771
   JPCHtrade |   1.217857   .2780727     0.86   0.388     .7784698    1.905244
      GDPQgr |   1.005083   .0931232     0.05   0.956     .8381774    1.205223
     toffice |   .9706061   .0148119    -1.96   0.051     .9420052    1.000075
    election |   .3795793   .1883524    -1.95   0.051      .143524    1.003877
       _cons |   2.86e-09   2.35e-08    -2.40   0.016     3.04e-16    .0269945
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. asdoc logistic rhetpas Lagpatrol dscrq Missiles dCR govstr1App govstr1 LagApp dunemp partyi
> d JPCHtrade GDPQgr toffice election, nest eform
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        130
                                                LR chi2(13)       =      14.30
                                                Prob > chi2       =     0.3533
Log likelihood = -80.733042                     Pseudo R2         =     0.0813

------------------------------------------------------------------------------
     rhetpas | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   Lagpatrol |   1.355863   .2202245     1.87   0.061     .9861897    1.864109
       dscrq |   .9983438   .0033089    -0.50   0.617     .9918796     1.00485
    Missiles |   .9340616   .1205902    -0.53   0.597     .7252417    1.203007
         dCR |   1.030499   .0424607     0.73   0.466     .9505489    1.117173
  govstr1App |   .9999546   .0016131    -0.03   0.978     .9967979    1.003121
     govstr1 |   1.051605   .0870695     0.61   0.543     .8940786    1.236885
      LagApp |   .9822869   .1212544    -0.14   0.885     .7711968    1.251156
      dunemp |   2.257414   3.908298     0.47   0.638     .0758424     67.1909
     partyid |    1.07373   .8226136     0.09   0.926      .239203     4.81974
   JPCHtrade |   1.035285   .2274134     0.16   0.875     .6731054    1.592345
      GDPQgr |   1.052342   .1046579     0.51   0.608     .8659698    1.278824
     toffice |    .984283   .0146438    -1.06   0.287     .9559961    1.013407
    election |   .6188435   .3002521    -0.99   0.323     .2391072    1.601655
       _cons |   .0112398   .0839467    -0.60   0.548     4.94e-09    25592.41
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. 
. *Table A8.*
. asdoc logistic actspe1 altvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp party
> id JPCHtrade GDPQgr toffice election, nest replace eform

Logistic regression                             Number of obs     =        128
                                                LR chi2(13)       =      23.61
                                                Prob > chi2       =     0.0349
Log likelihood =  -75.91314                     Pseudo R2         =     0.1346

------------------------------------------------------------------------------
     actspe1 | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  altvessels |   1.134576   .0550976     2.60   0.009     1.031567    1.247872
       dscrq |   .9974529   .0034373    -0.74   0.459     .9907386    1.004213
    Missiles |   .8944374   .1171763    -0.85   0.394     .6918911    1.156278
         dCR |   1.012515   .0436528     0.29   0.773     .9304726    1.101792
  govstr1App |   .9980708   .0017581    -1.10   0.273     .9946309    1.001523
     govstr1 |   1.075115   .0941538     0.83   0.408     .9055454    1.276437
      LagApp |   1.154575   .1565437     1.06   0.289     .8851387    1.506027
      dunemp |   2.168527   3.992395     0.42   0.674     .0587556    80.03509
     partyid |   1.478921   1.130948     0.51   0.609     .3303856    6.620162
   JPCHtrade |    1.00694   .2351071     0.03   0.976     .6371755    1.591284
      GDPQgr |   1.085936   .1164243     0.77   0.442     .8801288     1.33987
     toffice |   1.011425   .0152686     0.75   0.452     .9819379    1.041798
    election |   .6045836   .3121768    -0.97   0.330     .2197548    1.663315
       _cons |   .0011229   .0088575    -0.86   0.389     2.17e-10    5815.556
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. asdoc logistic actgen1 altvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp party
> id JPCHtrade GDPQgr toffice election, nest eform
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        128
                                                LR chi2(13)       =      18.55
                                                Prob > chi2       =     0.1376
Log likelihood = -79.054813                     Pseudo R2         =     0.1050

------------------------------------------------------------------------------
     actgen1 | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  altvessels |   1.095899   .0537199     1.87   0.062     .9955092    1.206411
       dscrq |    1.00287   .0034907     0.82   0.410     .9960517    1.009735
    Missiles |    1.31605   .1909788     1.89   0.058     .9902619    1.749019
         dCR |   .9827223   .0424105    -0.40   0.686     .9030177    1.069462
  govstr1App |   .9981479   .0017285    -1.07   0.284      .994766    1.001541
     govstr1 |   1.123896   .0944048     1.39   0.164     .9532947    1.325029
      LagApp |   1.131366   .1498626     0.93   0.351     .8726736    1.466746
      dunemp |   2.342285   4.123873     0.48   0.629     .0743015    73.83832
     partyid |   1.097515   .7621458     0.13   0.893      .281392    4.280644
   JPCHtrade |   .9649175   .2153215    -0.16   0.873     .6230809    1.494294
      GDPQgr |   .9851668   .0899593    -0.16   0.870     .8237271    1.178247
     toffice |   .9690791   .0152237    -2.00   0.046      .939696     .999381
    election |   .3694973   .1878587    -1.96   0.050     .1364099    1.000867
       _cons |   .0007639   .0057769    -0.95   0.343     2.79e-10    2088.684
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. asdoc logistic rhetact altvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp party
> id JPCHtrade GDPQgr toffice election, nest eform
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        128
                                                LR chi2(13)       =      14.93
                                                Prob > chi2       =     0.3116
Log likelihood = -80.489869                     Pseudo R2         =     0.0849

------------------------------------------------------------------------------
     rhetact | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  altvessels |   1.055245    .046669     1.22   0.224     .9676281    1.150796
       dscrq |   1.000254   .0033246     0.08   0.939     .9937592    1.006792
    Missiles |   1.062877   .1349137     0.48   0.631      .828777    1.363101
         dCR |   .9701847   .0401808    -0.73   0.465     .8945433    1.052222
  govstr1App |   .9959088   .0017524    -2.33   0.020     .9924801    .9993493
     govstr1 |   1.244052   .1113205     2.44   0.015      1.04393    1.482538
      LagApp |   1.353908   .1822951     2.25   0.024     1.039873     1.76278
      dunemp |   1.543949   2.649605     0.25   0.800     .0534401    44.60656
     partyid |   1.529164   1.102247     0.59   0.556     .3723003    6.280794
   JPCHtrade |   1.174067   .2680263     0.70   0.482     .7505385    1.836591
      GDPQgr |   1.009951    .092588     0.11   0.914     .8438509    1.208745
     toffice |    .971493   .0148139    -1.90   0.058     .9428879    1.000966
    election |   .3900188   .1985817    -1.85   0.064     .1437766    1.057993
       _cons |   2.97e-09   2.43e-08    -2.40   0.016     3.23e-16    .0273085
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. asdoc logistic rhetpas altvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp party
> id JPCHtrade GDPQgr toffice election, nest eform
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        128
                                                LR chi2(13)       =      13.35
                                                Prob > chi2       =     0.4213
Log likelihood = -80.148745                     Pseudo R2         =     0.0769

------------------------------------------------------------------------------
     rhetpas | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  altvessels |   1.091265   .0502442     1.90   0.058     .9971006    1.194322
       dscrq |   .9982925   .0033315    -0.51   0.609     .9917843    1.004844
    Missiles |   .9339135   .1194267    -0.53   0.593     .7268704    1.199931
         dCR |   1.020072   .0422308     0.48   0.631     .9405702    1.106294
  govstr1App |   .9996155   .0016047    -0.24   0.811     .9964752    1.002766
     govstr1 |   1.063841   .0874463     0.75   0.452     .9055433    1.249811
      LagApp |   1.007917   .1234286     0.06   0.949     .7928434    1.281333
      dunemp |   2.034524   3.578597     0.40   0.686     .0647521    63.92515
     partyid |   1.287197    .930585     0.35   0.727      .312079    5.309152
   JPCHtrade |   1.008709    .220875     0.04   0.968     .6567196    1.549358
      GDPQgr |   1.059281   .1040619     0.59   0.558     .8737574    1.284198
     toffice |   .9830719    .014745    -1.14   0.255     .9545929    1.012401
    election |   .6018287   .3003212    -1.02   0.309     .2263138    1.600423
       _cons |   .0080221   .0593853    -0.65   0.514     4.01e-09     16049.9
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. 
. *Table A9.*
. asdoc logistic actspe1 Lagvessels dRUscrq dCHscrq Missiles dCR govstr1App govstr1 LagApp du
> nemp partyid JPCHtrade GDPQgr toffice election, nest replace eform

Logistic regression                             Number of obs     =        130
                                                LR chi2(14)       =      23.47
                                                Prob > chi2       =     0.0530
Log likelihood = -77.124295                     Pseudo R2         =     0.1321

------------------------------------------------------------------------------
     actspe1 | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   1.140674   .0561406     2.67   0.007     1.035781     1.25619
     dRUscrq |   .9980545   .0045108    -0.43   0.667     .9892527    1.006935
     dCHscrq |   .9959859   .0049867    -0.80   0.422       .98626    1.005808
    Missiles |   .8980066   .1163539    -0.83   0.406     .6966106    1.157628
         dCR |   1.013735   .0441904     0.31   0.754     .9307204    1.104154
  govstr1App |    .998187   .0017124    -1.06   0.290     .9948364    1.001549
     govstr1 |   1.076483   .0937524     0.85   0.397     .9075594    1.276849
      LagApp |   1.139292   .1487809     1.00   0.318     .8820151    1.471614
      dunemp |   3.542162    6.45974     0.69   0.488     .0993016    126.3515
     partyid |   1.395372   1.053432     0.44   0.659     .3177443    6.127765
   JPCHtrade |   1.055195   .2450159     0.23   0.817     .6693974    1.663341
      GDPQgr |   1.086059   .1165777     0.77   0.442     .8800055     1.34036
     toffice |   1.008065   .0149055     0.54   0.587     .9792696    1.037706
    election |   .5438782   .2779415    -1.19   0.233     .1997592      1.4808
       _cons |    .000486   .0038459    -0.96   0.335     8.93e-11    2645.084
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. asdoc logistic actgen1 Lagvessels dRUscrq dCHscrq Missiles dCR govstr1App govstr1 LagApp du
> nemp partyid JPCHtrade GDPQgr toffice election, nest eform
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        130
                                                LR chi2(14)       =      21.88
                                                Prob > chi2       =     0.0811
Log likelihood = -78.921908                     Pseudo R2         =     0.1218

------------------------------------------------------------------------------
     actgen1 | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   1.107171   .0554967     2.03   0.042     1.003572    1.221465
     dRUscrq |    1.00711     .00501     1.42   0.154     .9973383    1.016978
     dCHscrq |   .9948899   .0052587    -0.97   0.332     .9846363     1.00525
    Missiles |   1.307163   .1863975     1.88   0.060     .9884419    1.728656
         dCR |   .9705976   .0435679    -0.66   0.506     .8888546    1.059858
  govstr1App |   .9979174   .0017324    -1.20   0.230     .9945277    1.001319
     govstr1 |   1.133883    .097837     1.46   0.145     .9574638    1.342809
      LagApp |   1.146143   .1503176     1.04   0.298     .8863458     1.48209
      dunemp |   4.340139   7.638617     0.83   0.404     .1378461     136.651
     partyid |   1.143561   .7815105     0.20   0.844     .2996039    4.364868
   JPCHtrade |   1.032551   .2287899     0.14   0.885      .668813    1.594111
      GDPQgr |    .985075   .0909412    -0.16   0.871     .8220292     1.18046
     toffice |   .9666276   .0152024    -2.16   0.031     .9372861    .9968877
    election |   .3095422   .1594693    -2.28   0.023     .1127716    .8496501
       _cons |   .0001234   .0009482    -1.17   0.242     3.54e-11    429.7336
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. asdoc logistic rhetact Lagvessels dRUscrq dCHscrq Missiles dCR govstr1App govstr1 LagApp du
> nemp partyid JPCHtrade GDPQgr toffice election, nest eform
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        130
                                                LR chi2(14)       =      16.36
                                                Prob > chi2       =     0.2921
Log likelihood = -80.943912                     Pseudo R2         =     0.0918

------------------------------------------------------------------------------
     rhetact | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   1.061088   .0477128     1.32   0.187     .9715748    1.158848
     dRUscrq |   1.002608   .0044492     0.59   0.557      .993926    1.011367
     dCHscrq |    .996566   .0049302    -0.70   0.487     .9869496    1.006276
    Missiles |   1.065323   .1353283     0.50   0.618     .8305253      1.3665
         dCR |   .9663972   .0406846    -0.81   0.417     .8898581     1.04952
  govstr1App |   .9959077   .0017505    -2.33   0.020     .9924826    .9993446
     govstr1 |    1.24585   .1124966     2.43   0.015      1.04377    1.487054
      LagApp |   1.349081    .180151     2.24   0.025     1.038417    1.752686
      dunemp |   2.324043   3.961754     0.49   0.621     .0822651    65.65568
     partyid |     1.4886   1.062138     0.56   0.577     .3676487    6.027302
   JPCHtrade |   1.238447   .2851883     0.93   0.353     .7886126    1.944873
      GDPQgr |   1.008531   .0930291     0.09   0.927     .8417293    1.208387
     toffice |   .9698354   .0147971    -2.01   0.045     .9412629    .9992753
    election |   .3528133    .179538    -2.05   0.041     .1301336     .956534
       _cons |   1.06e-09   8.84e-09    -2.48   0.013     8.61e-17     .013074
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. asdoc logistic rhetpas Lagvessels dRUscrq dCHscrq Missiles dCR govstr1App govstr1 LagApp du
> nemp partyid JPCHtrade GDPQgr toffice election, nest eform
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        130
                                                LR chi2(14)       =      19.45
                                                Prob > chi2       =     0.1485
Log likelihood = -78.156448                     Pseudo R2         =     0.1107

------------------------------------------------------------------------------
     rhetpas | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   1.106788   .0529221     2.12   0.034     1.007774    1.215529
     dRUscrq |   1.004362   .0045748     0.96   0.339     .9954351    1.013368
     dCHscrq |    .989434   .0051984    -2.02   0.043     .9792975    .9996754
    Missiles |   .9116854   .1237799    -0.68   0.496     .6986779    1.189633
         dCR |   1.009472   .0433735     0.22   0.826     .9279426    1.098165
  govstr1App |   .9991671   .0016816    -0.50   0.621     .9958766    1.002468
     govstr1 |   1.071587   .0906378     0.82   0.414     .9078841    1.264807
      LagApp |   1.041656   .1332398     0.32   0.750      .810673    1.338452
      dunemp |   3.434814   6.187927     0.68   0.493     .1005625    117.3195
     partyid |   1.450925   1.056648     0.51   0.609     .3481372    6.046989
   JPCHtrade |   1.091658    .245505     0.39   0.697     .7025191    1.696348
      GDPQgr |   1.067128   .1040978     0.67   0.505     .8814182    1.291965
     toffice |   .9831902   .0148612    -1.12   0.262     .9544901    1.012753
    election |   .5533747   .2837164    -1.15   0.248     .2025846    1.511583
       _cons |   .0009693   .0075713    -0.89   0.374     2.18e-10    4316.021
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. 
. *Table A10.*
. asdoc reg actspe1 Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp partyid JP
> CHtrade GDPQgr toffice election, nest replace

      Source |       SS           df       MS      Number of obs   =       130
-------------+----------------------------------   F(13, 116)      =      1.77
       Model |  5.27754064        13  .405964664   Prob > F        =    0.0559
    Residual |  26.5993824       116  .229305021   R-squared       =    0.1656
-------------+----------------------------------   Adj R-squared   =    0.0720
       Total |  31.8769231       129  .247107931   Root MSE        =    .47886

------------------------------------------------------------------------------
     actspe1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   .0257436   .0093955     2.74   0.007     .0071347    .0443526
       dscrq |  -.0006129   .0007555    -0.81   0.419    -.0021093    .0008836
    Missiles |  -.0217662    .027376    -0.80   0.428    -.0759877    .0324554
         dCR |   .0040359   .0093845     0.43   0.668    -.0145512     .022623
  govstr1App |  -.0003514    .000354    -0.99   0.323    -.0010524    .0003497
     govstr1 |   .0136921   .0178909     0.77   0.446    -.0217432    .0491273
      LagApp |   .0255628    .026675     0.96   0.340    -.0272704     .078396
      dunemp |   .2183309   .3714603     0.59   0.558    -.5173931    .9540548
     partyid |   .0774264   .1504007     0.51   0.608    -.2204611     .375314
   JPCHtrade |   .0153664    .048644     0.32   0.753    -.0809791    .1117119
      GDPQgr |   .0133185   .0203956     0.65   0.515    -.0270776    .0537145
     toffice |   .0020516   .0032594     0.63   0.530     -.004404    .0085073
    election |  -.1239489   .1076651    -1.15   0.252    -.3371933    .0892954
       _cons |  -1.071496   1.633668    -0.66   0.513     -4.30718    2.164189
------------------------------------------------------------------------------
  
Click to Open File:  Myfile.doc

. asdoc reg actgen1 Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp partyid JP
> CHtrade GDPQgr toffice election, nest
(File Myfile.doc already exists, option append was assumed)

      Source |       SS           df       MS      Number of obs   =       130
-------------+----------------------------------   F(13, 116)      =      1.40
       Model |  4.40067799        13  .338513692   Prob > F        =    0.1680
    Residual |  27.9762451       116  .241174527   R-squared       =    0.1359
-------------+----------------------------------   Adj R-squared   =    0.0391
       Total |  32.3769231       129    .2509839   Root MSE        =     .4911

------------------------------------------------------------------------------
     actgen1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   .0181179   .0096356     1.88   0.063    -.0009666    .0372024
       dscrq |   .0005939   .0007748     0.77   0.445    -.0009407    .0021286
    Missiles |   .0545653   .0280756     1.94   0.054    -.0010419    .1101725
         dCR |  -.0034201   .0096243    -0.36   0.723    -.0224823     .015642
  govstr1App |  -.0003354    .000363    -0.92   0.357    -.0010544    .0003835
     govstr1 |   .0241584   .0183481     1.32   0.191    -.0121824    .0604992
      LagApp |   .0207477   .0273567     0.76   0.450    -.0334356     .074931
      dunemp |   .2237029    .380953     0.59   0.558    -.5308225    .9782282
     partyid |   .0178693   .1542442     0.12   0.908    -.2876308    .3233694
   JPCHtrade |   .0018723   .0498871     0.04   0.970    -.0969353      .10068
      GDPQgr |   -.003073   .0209168    -0.15   0.883    -.0445014    .0383554
     toffice |  -.0074773   .0033427    -2.24   0.027     -.014098   -.0008567
    election |  -.2343876   .1104165    -2.12   0.036    -.4530815   -.0156938
       _cons |  -1.116593   1.675416    -0.67   0.506    -4.434965    2.201779
------------------------------------------------------------------------------
  
Click to Open File:  Myfile.doc

. asdoc reg rhetact Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp partyid JP
> CHtrade GDPQgr toffice election, nest
(File Myfile.doc already exists, option append was assumed)

      Source |       SS           df       MS      Number of obs   =       130
-------------+----------------------------------   F(13, 116)      =      1.10
       Model |  3.52222854        13  .270940657   Prob > F        =    0.3632
    Residual |  28.4854638       116  .245564343   R-squared       =    0.1100
-------------+----------------------------------   Adj R-squared   =    0.0103
       Total |  32.0076923       129  .248121646   Root MSE        =    .49554

------------------------------------------------------------------------------
     rhetact |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   .0115359   .0097229     1.19   0.238    -.0077215    .0307933
       dscrq |   .0000196   .0007819     0.03   0.980     -.001529    .0015682
    Missiles |   .0156209   .0283299     0.55   0.582    -.0404901    .0717319
         dCR |  -.0063587   .0097115    -0.65   0.514    -.0255935    .0128761
  govstr1App |  -.0008086   .0003663    -2.21   0.029    -.0015341   -.0000831
     govstr1 |   .0444964   .0185144     2.40   0.018     .0078263    .0811664
      LagApp |   .0583046   .0276045     2.11   0.037     .0036304    .1129788
      dunemp |   .1824949   .3844044     0.47   0.636    -.5788664    .9438561
     partyid |   .1082637   .1556416     0.70   0.488    -.2000041    .4165316
   JPCHtrade |   .0434723   .0503391     0.86   0.390    -.0562305    .1431751
      GDPQgr |   .0009311   .0211063     0.04   0.965    -.0408726    .0427348
     toffice |  -.0069173    .003373    -2.05   0.043    -.0135979   -.0002367
    election |  -.2205715   .1114169    -1.98   0.050    -.4412466    .0001037
       _cons |  -3.666233   1.690595    -2.17   0.032     -7.01467   -.3177971
------------------------------------------------------------------------------
  
Click to Open File:  Myfile.doc

. asdoc reg rhetpas Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp partyid JP
> CHtrade GDPQgr toffice election, nest
(File Myfile.doc already exists, option append was assumed)

      Source |       SS           df       MS      Number of obs   =       130
-------------+----------------------------------   F(13, 116)      =      1.02
       Model |  3.22683848        13  .248218344   Prob > F        =    0.4350
    Residual |  28.1654692       116  .242805769   R-squared       =    0.1028
-------------+----------------------------------   Adj R-squared   =    0.0022
       Total |  31.3923077       129  .243351222   Root MSE        =    .49275

------------------------------------------------------------------------------
     rhetpas |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |    .017518   .0096681     1.81   0.073     -.001631    .0366669
       dscrq |  -.0004238   .0007775    -0.55   0.587    -.0019636    .0011161
    Missiles |  -.0137666   .0281704    -0.49   0.626    -.0695615    .0420284
         dCR |   .0054124   .0096568     0.56   0.576    -.0137141    .0245389
  govstr1App |  -.0000566   .0003642    -0.16   0.877     -.000778    .0006648
     govstr1 |   .0119597   .0184101     0.65   0.517    -.0245038    .0484232
      LagApp |  -.0003172    .027449    -0.01   0.991    -.0546834    .0540491
      dunemp |   .1681109   .3822391     0.44   0.661    -.5889619    .9251837
     partyid |   .0754236    .154765     0.49   0.627    -.2311079    .3819552
   JPCHtrade |   .0109025   .0500555     0.22   0.828    -.0882387    .1100437
      GDPQgr |   .0103506   .0209874     0.49   0.623    -.0312176    .0519189
     toffice |  -.0040127    .003354    -1.20   0.234    -.0106557    .0026303
    election |  -.1128243   .1107893    -1.02   0.311    -.3322564    .1066079
       _cons |  -.6206642   1.681072    -0.37   0.713     -3.95024    2.708911
------------------------------------------------------------------------------
  
Click to Open File:  Myfile.doc

. 
. *Table A11.*
. asdoc reg actspe1 Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp Hato Kan N
> oda Abe  JPCHtrade GDPQgr toffice election, nest replace

      Source |       SS           df       MS      Number of obs   =       130
-------------+----------------------------------   F(16, 113)      =      1.48
       Model |  5.53080707        16  .345675442   Prob > F        =    0.1184
    Residual |   26.346116       113  .233151469   R-squared       =    0.1735
-------------+----------------------------------   Adj R-squared   =    0.0565
       Total |  31.8769231       129  .247107931   Root MSE        =    .48286

------------------------------------------------------------------------------
     actspe1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   .0230486   .0113586     2.03   0.045     .0005451     .045552
       dscrq |  -.0006719   .0007668    -0.88   0.383     -.002191    .0008472
    Missiles |  -.0198366   .0277267    -0.72   0.476    -.0747681    .0350949
         dCR |   .0051548   .0098146     0.53   0.600    -.0142898    .0245993
  govstr1App |  -.0002532   .0004043    -0.63   0.532    -.0010541    .0005477
     govstr1 |   .0049375   .0224164     0.22   0.826    -.0394735    .0493485
      LagApp |   .0164792   .0315185     0.52   0.602    -.0459647    .0789231
      dunemp |   .2155117   .3771069     0.57   0.569    -.5316051    .9626284
        Hato |   .1674275   .3706283     0.45   0.652    -.5668539     .901709
         Kan |  -.0843291   .3791866    -0.22   0.824    -.8355662     .666908
        Noda |  -.0033761   .3429491    -0.01   0.992    -.6828201    .6760679
         Abe |   .1738197   .4411221     0.39   0.694    -.7001227    1.047762
   JPCHtrade |   .0252767   .0503612     0.50   0.617     -.074498    .1250514
      GDPQgr |   .0211443   .0270969     0.78   0.437    -.0325396    .0748281
     toffice |   .0024858   .0033291     0.75   0.457    -.0041097    .0090813
    election |  -.1230508   .1105778    -1.11   0.268    -.3421255    .0960238
       _cons |  -.5604238   1.809244    -0.31   0.757    -4.144863    3.024015
------------------------------------------------------------------------------
  
Click to Open File:  Myfile.doc

. asdoc reg actgen1 Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp Hato Kan N
> oda Abe  JPCHtrade GDPQgr toffice election, nest
(File Myfile.doc already exists, option append was assumed)

      Source |       SS           df       MS      Number of obs   =       130
-------------+----------------------------------   F(16, 113)      =      1.32
       Model |  5.09276499        16  .318297812   Prob > F        =    0.1983
    Residual |  27.2841581       113  .241452726   R-squared       =    0.1573
-------------+----------------------------------   Adj R-squared   =    0.0380
       Total |  32.3769231       129    .2509839   Root MSE        =    .49138

------------------------------------------------------------------------------
     actgen1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   .0263306   .0115591     2.28   0.025       .00343    .0492312
       dscrq |   .0006589   .0007803     0.84   0.400     -.000887    .0022049
    Missiles |   .0530624    .028216     1.88   0.063    -.0028385    .1089633
         dCR |  -.0054412   .0099878    -0.54   0.587    -.0252288    .0143465
  govstr1App |  -.0005935   .0004114    -1.44   0.152    -.0014086    .0002215
     govstr1 |    .044344    .022812     1.94   0.054    -.0008507    .0895387
      LagApp |   .0436697   .0320747     1.36   0.176    -.0198762    .1072155
      dunemp |    .203975   .3837615     0.53   0.596    -.5563258    .9642758
        Hato |  -.5414381   .3771686    -1.44   0.154    -1.288677    .2058009
         Kan |  -.2494067    .385878    -0.65   0.519    -1.013901    .5150872
        Noda |  -.3505561    .349001    -1.00   0.317     -1.04199    .3408777
         Abe |  -.5619018   .4489064    -1.25   0.213    -1.451266    .3274628
   JPCHtrade |   -.012575   .0512499    -0.25   0.807    -.1141104    .0889604
      GDPQgr |  -.0028669   .0275751    -0.10   0.917    -.0574981    .0517642
     toffice |  -.0080211   .0033878    -2.37   0.020     -.014733   -.0013092
    election |  -.2505455   .1125292    -2.23   0.028    -.4734861    -.027605
       _cons |  -2.127421   1.841171    -1.16   0.250    -5.775114    1.520271
------------------------------------------------------------------------------
  
Click to Open File:  Myfile.doc

. asdoc reg rhetact Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp Hato Kan N
> oda Abe  JPCHtrade GDPQgr toffice election, nest
(File Myfile.doc already exists, option append was assumed)

      Source |       SS           df       MS      Number of obs   =       130
-------------+----------------------------------   F(16, 113)      =      0.91
       Model |  3.66595893        16  .229122433   Prob > F        =    0.5558
    Residual |  28.3417334       113    .2508118   R-squared       =    0.1145
-------------+----------------------------------   Adj R-squared   =   -0.0108
       Total |  32.0076923       129  .248121646   Root MSE        =    .50081

------------------------------------------------------------------------------
     rhetact |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |    .006866    .011781     0.58   0.561    -.0164742    .0302062
       dscrq |   .0000336   .0007953     0.04   0.966     -.001542    .0016092
    Missiles |   .0143825   .0287576     0.50   0.618    -.0425915    .0713565
         dCR |  -.0060408   .0101795    -0.59   0.554    -.0262084    .0141267
  govstr1App |  -.0006885   .0004193    -1.64   0.103    -.0015191    .0001422
     govstr1 |   .0365429   .0232499     1.57   0.119    -.0095194    .0826051
      LagApp |   .0481456   .0326905     1.47   0.144    -.0166201    .1129113
      dunemp |   .2089173   .3911284     0.53   0.594    -.5659786    .9838132
        Hato |   .0713128   .3844089     0.19   0.853    -.6902705    .8328962
         Kan |   .1317445   .3932855     0.33   0.738     -.647425     .910914
        Noda |    .131373   .3557006     0.37   0.713     -.573334    .8360799
         Abe |    .325175   .4575238     0.71   0.479    -.5812622    1.231612
   JPCHtrade |   .0445292   .0522338     0.85   0.396    -.0589552    .1480137
      GDPQgr |  -.0103768   .0281044    -0.37   0.713    -.0660567    .0453031
     toffice |  -.0070016   .0034529    -2.03   0.045    -.0138423   -.0001608
    election |  -.2056769   .1146893    -1.79   0.076    -.4328971    .0215434
       _cons |   -3.14785   1.876515    -1.68   0.096    -6.865565    .5698651
------------------------------------------------------------------------------
  
Click to Open File:  Myfile.doc

. asdoc reg rhetpas Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp Hato Kan N
> oda Abe  JPCHtrade GDPQgr toffice election, nest
(File Myfile.doc already exists, option append was assumed)

      Source |       SS           df       MS      Number of obs   =       130
-------------+----------------------------------   F(16, 113)      =      1.14
       Model |  4.35972086        16  .272482554   Prob > F        =    0.3288
    Residual |  27.0325868       113  .239226432   R-squared       =    0.1389
-------------+----------------------------------   Adj R-squared   =    0.0169
       Total |  31.3923077       129  .243351222   Root MSE        =    .48911

------------------------------------------------------------------------------
     rhetpas |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   .0094346   .0115056     0.82   0.414    -.0133601    .0322294
       dscrq |  -.0005799   .0007767    -0.75   0.457    -.0021187    .0009589
    Missiles |  -.0127252   .0280856    -0.45   0.651    -.0683677    .0429174
         dCR |   .0028644   .0099417     0.29   0.774    -.0168318    .0225607
  govstr1App |   .0000113   .0004095     0.03   0.978       -.0008    .0008225
     govstr1 |   .0037847   .0227066     0.17   0.868    -.0412011    .0487706
      LagApp |  -.0066442   .0319265    -0.21   0.836    -.0698964     .056608
      dunemp |    .234093   .3819882     0.61   0.541    -.5226945    .9908806
        Hato |   .1098973   .3754257     0.29   0.770    -.6338888    .8536834
         Kan |   -.148667   .3840949    -0.39   0.699    -.9096283    .6122942
        Noda |   .2439467   .3473883     0.70   0.484    -.4442921    .9321855
         Abe |   .3002686    .446832     0.67   0.503    -.5849863    1.185523
   JPCHtrade |   .0333796   .0510131     0.65   0.514    -.0676866    .1344458
      GDPQgr |   .0159089   .0274476     0.58   0.563    -.0384698    .0702876
     toffice |   -.004103   .0033722    -1.22   0.226    -.0107839    .0025779
    election |  -.1142531   .1120092    -1.02   0.310    -.3361635    .1076573
       _cons |  -.4776532   1.832663    -0.26   0.795     -4.10849    3.153184
------------------------------------------------------------------------------
  
Click to Open File:  Myfile.doc

.  
. *Table A12.*
. asdoc logistic actspe1 Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp party
> id JPUStrade GDPQgr toffice election, nest replace eform

Logistic regression                             Number of obs     =        130
                                                LR chi2(13)       =      23.94
                                                Prob > chi2       =     0.0317
Log likelihood = -76.889972                     Pseudo R2         =     0.1347

------------------------------------------------------------------------------
     actspe1 | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |     1.1391   .0561163     2.64   0.008     1.034257    1.254571
       dscrq |   .9972638   .0034225    -0.80   0.425     .9905783    1.003994
    Missiles |   .9040355   .1124781    -0.81   0.417     .7084038    1.153692
         dCR |   1.008895   .0437518     0.20   0.838     .9266858    1.098396
  govstr1App |    .998348   .0016801    -0.98   0.326     .9950605    1.001646
     govstr1 |    1.07955    .094184     0.88   0.380     .9098729    1.280869
      LagApp |   1.124015   .1438557     0.91   0.361     .8746452    1.444482
      dunemp |   3.765275   6.885299     0.73   0.468     .1045353    135.6221
     partyid |   1.558977   1.221665     0.57   0.571     .3355916    7.242168
   JPUStrade |   .8199596   .2184335    -0.75   0.456     .4864478    1.382129
      GDPQgr |   1.077182   .1184207     0.68   0.499     .8683837    1.336185
     toffice |   1.013083    .015979     0.82   0.410     .9822438     1.04489
    election |   .5575487   .2863321    -1.14   0.255     .2037716    1.525534
       _cons |   .0142152   .0995983    -0.61   0.544     1.54e-08    13082.02
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. asdoc logistic actgen1 Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp party
> id JPUStrade GDPQgr toffice election, nest eform
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        130
                                                LR chi2(13)       =      20.17
                                                Prob > chi2       =     0.0912
Log likelihood =  -79.77994                     Pseudo R2         =     0.1122

------------------------------------------------------------------------------
     actgen1 | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   1.097335   .0532898     1.91   0.056     .9977056    1.206913
       dscrq |   1.002168   .0034476     0.63   0.529     .9954337    1.008948
    Missiles |   1.294396   .1802539     1.85   0.064     .9852159    1.700604
         dCR |   .9928201   .0433705    -0.16   0.869     .9113528     1.08157
  govstr1App |   .9983077   .0016568    -1.02   0.307     .9950658     1.00156
     govstr1 |   1.119406   .0941366     1.34   0.180     .9493052    1.319987
      LagApp |   1.112341   .1393616     0.85   0.395     .8701488    1.421943
      dunemp |   3.014172   5.261782     0.63   0.527     .0984559    92.27716
     partyid |   .8759373   .6096892    -0.19   0.849     .2238726    3.427245
   JPUStrade |   1.276734   .3498057     0.89   0.373     .7462499    2.184323
      GDPQgr |   .9952714   .0927107    -0.05   0.959     .8291843    1.194626
     toffice |   .9596859   .0164084    -2.41   0.016     .9280589    .9923907
    election |   .3230648   .1629252    -2.24   0.025     .1202317    .8680809
       _cons |   .0000303     .00021    -1.50   0.133     3.89e-11    23.65652
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. asdoc logistic rhetact Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp party
> id JPUStrade GDPQgr toffice election, nest eform
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        130
                                                LR chi2(13)       =      15.52
                                                Prob > chi2       =     0.2763
Log likelihood = -81.364183                     Pseudo R2         =     0.0870

------------------------------------------------------------------------------
     rhetact | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |   1.055375   .0465752     1.22   0.222     .9679254    1.150724
       dscrq |   1.000147   .0033106     0.04   0.965     .9936788    1.006656
    Missiles |   1.033449   .1259769     0.27   0.787     .8138189    1.312351
         dCR |   .9764526    .041203    -0.56   0.572     .8989455    1.060642
  govstr1App |   .9962088   .0016931    -2.23   0.025     .9928959    .9995327
     govstr1 |   1.239094   .1107626     2.40   0.016     1.039957    1.476363
      LagApp |   1.317025   .1698151     2.14   0.033      1.02292    1.695691
      dunemp |   1.836372   3.108431     0.36   0.720     .0665472    50.67472
     partyid |   1.204461    .867428     0.26   0.796     .2936129    4.940951
   JPUStrade |   1.245479   .3297069     0.83   0.407     .7413167    2.092517
      GDPQgr |   1.021255   .0953064     0.23   0.822     .8505457    1.226227
     toffice |   .9657917   .0161239    -2.08   0.037     .9347009    .9979167
    election |   .3578362   .1810296    -2.03   0.042     .1327581    .9645122
       _cons |   8.31e-09   6.06e-08    -2.55   0.011     5.22e-15    .0132368
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. asdoc logistic rhetpas Lagvessels dscrq Missiles dCR govstr1App govstr1 LagApp dunemp party
> id JPUStrade GDPQgr toffice election, nest eform
(File Myfile.doc already exists, option append was assumed)

Logistic regression                             Number of obs     =        130
                                                LR chi2(13)       =      15.28
                                                Prob > chi2       =     0.2901
Log likelihood = -80.239803                     Pseudo R2         =     0.0869

------------------------------------------------------------------------------
     rhetpas | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Lagvessels |    1.09287   .0505588     1.92   0.055      .998136    1.196595
       dscrq |   .9978627   .0033125    -0.64   0.519     .9913914    1.004376
    Missiles |   .9176471   .1158147    -0.68   0.496     .7165507     1.17518
         dCR |   1.028865   .0436605     0.67   0.502     .9467536    1.118097
  govstr1App |   .9996205    .001597    -0.24   0.812     .9964953    1.002756
     govstr1 |   1.062449   .0879295     0.73   0.464     .9033617    1.249552
      LagApp |   1.005748   .1221098     0.05   0.962     .7927624    1.275954
      dunemp |   2.183995   3.822914     0.45   0.655     .0706787    67.48609
     partyid |    1.08243   .7962882     0.11   0.914     .2559851    4.577044
   JPUStrade |   1.266641   .3348222     0.89   0.371     .7544809    2.126469
      GDPQgr |   1.071418   .1057302     0.70   0.485     .8829988    1.300043
     toffice |   .9754343   .0160749    -1.51   0.131     .9444315    1.007455
    election |   .5477529   .2732942    -1.21   0.228     .2060102      1.4564
       _cons |   .0006162   .0041756    -1.09   0.275     1.05e-09    361.3398
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
  
Click to Open File:  Myfile.doc

. 
. 
. 
. sum

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
      Period |          0
     rhetpas |        131    .4045802    .4926947          0          1
     rhetact |        131    .4351145    .4976752          0          1
     actgen1 |        131    .5267176    .5012023          0          1
     actspe1 |        131    .4274809    .4966121          0          1
-------------+---------------------------------------------------------
     Vessels |        132    6.598485    6.007451          0         28
  Lagvessels |        132    6.507576    6.015877          0         28
           t |        132        66.5    38.24918          1        132
         Aso |        132    .0681818    .2530179          0          1
        Hato |        132    .0606061    .2395153          0          1
-------------+---------------------------------------------------------
         Kan |        132    .1136364    .3185781          0          1
        Noda |        132    .1212121     .327617          0          1
         Abe |        132    .6363636    .4828783          0          1
      LagApp |        130    43.40769    12.71433         15         70
      dunemp |        132   -.0128788    .1244256        -.3         .4
-------------+---------------------------------------------------------
     partyid |        132    .7045455    .4579849          0          1
   JPUStrade |        132    13.96234     1.34844   10.95172   16.42474
       dscrq |        132        3.75    58.42636       -157        103
     toffice |        132    29.87121    25.77898          1         84
   Lagpatrol |        132    1.954545    1.746812          0          8
-------------+---------------------------------------------------------
       Month |        132       653.5    38.24918        588        719
    election |        132    .2424242    .4301821          0          1
  altvessels |        130    6.430769    6.029563          0         28
      GDPQgr |        132    .5752273    2.650402      -8.85        5.4
   JPCHtrade |        132    20.79674    1.079716   17.31003   23.23758
-------------+---------------------------------------------------------
         dCR |        132   -1.401515    4.940655        -10          7
 Lagmissiles |        132    .9242424    1.771794          0         10
        scrq |        132      181.25    84.17706         57        340
      RUscrq |        132    75.88636    35.98805         24        235
      CHscrq |        132    99.93182    68.08652          1        237
-------------+---------------------------------------------------------
     dRUscrq |        132    .3484848    43.64394       -146        122
     dCHscrq |        132    4.704545    41.78877       -106        109
        ddCR |        132   -.3636364    8.401447        -13         13
     govstr1 |        132    85.87273    12.80841    58.9169     99.999
     dGDPQgr |        131     .119084    1.779546      -4.95       6.04
-------------+---------------------------------------------------------
  govstr1App |        130    3791.225    1293.041   1060.504   5799.942
    Missiles |        132    .9242424    1.771794          0         10
      patrol |        131    1.969466    1.745054          0          8

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      name:  <unnamed>
       log:  /Users/christineliu/Desktop/Japan Paper/Dataverse Submission/Results.log
  log type:  text
 closed on:  21 Jul 2021, 22:40:23
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